This conference will bring together international leaders in
understanding the computational principles underlying how neural circuits
decode sensory information, make decisions, and learn from experience.

Includes all fields related to neuroinformatics, including data- and
knowledge-bases of the nervous system from molecular to behavioral
levels; tools for the acquisition, analysis, and visualization of nervous
system data; and theoretical, computational, and simulation environments
for modeling the brain.

The goal of this conference is to bring together theoretical
neuroscientists and mathematicians interested in using mathematical
concepts and methods for solving problems posed by neuroscience.
The conference is also aimed to illustrate that neuroscience is spawning
new areas of mathematics.

Researchers interested in building and sharing models of any brain region
and from any species are welcome to attend the meeting. There will be
presentations on the latest developments and functionality of the OSB
resource and associated technologies including NeuroML and LEMS. There
will also be a special focus session on Wed 13th May on creating and
sharing experimentally constrained models of the hippocampus.

The program includes keynote presentations by leading computational
neuroscientists and workshops on describing synaptic dynamics, building
cortical circuits, and modelling in open source collaborative projects.

The conference will focus on understanding how the activation of large
populations of neurons gives rise to the higher order functions of the
brain including learning, memory, cognition, perception, action and
ultimately conscious awareness.

Neural Computation and Neural Field Theory is a growing and very active
area of research with important applications in medicine and technology.
Activities range from the simulation of individual neurons to numerical
treatment of neural field equations, from modeling and identification of
cognitive and psychological processes in a neural environment to building
natural or artificial devices.

The general goal of the conference is to present and demonstrate both
the successes and challenges of mathematical modeling in neuroscience,
and to encourage the dissemination and application of such techniques to
modeling in other biological fields. In conjunction with the conference,
we plan to honor Professor Bard Ermentrout who has been at the forefront
of the conference's topics throughout his career.

For researchers in all fields related to neuroinformatics, including
data- and knowledge-bases of the nervous system from molecular to
behavioral levels; tools for the acquisition, analysis, and visualization
of nervous system data; and theoretical, computational, and simulation
environments for modeling the brain.

Meeting content spans the range of cognitive science from synaptic
dynamics to social interactions, integrated with concepts of nonlinear
neurodynamics operating simultaneously within and across scales.

The Bernstein Conference is a single-track conference, covering all
aspects of Computational Neuroscience and Neurotechnology. It will be
held this year consecutively with the 5th Neuroinformatics Congress of
the INCF.
Abstracts will be published online in the journal Frontiers in
Computational Neuroscience.

For researchers in all fields related to neuroinformatics, including
data- and knowledge-bases of the nervous system from molecular to
behavioral levels; tools for the acquisition, analysis, and visualization
of nervous system data; and theoretical, computational, and simulation
environments for modeling the brain.

The conference will focus on understanding how the activation of large
populations of neurons gives rise to the higher order functions of the
brain including learning, memory, cognition, perception, action and
ultimately conscious awareness.

For researchers in all fields related to neuroinformatics, including
data- and knowledge-bases of the nervous system from molecular to
behavioral levels; tools for the acquisition, analysis, and visualization
of nervous system data; and theoretical, computational, and simulation
environments for modeling the brain.

PMC is an interdisciplinary meeting about basic and applied research in
the control and coordination of movement in humans, non-human animals,
and artificial systems that features a broad range of disciplines,
theoretical approaches, and model systems.

Meeting content spans the range of cognitive science from synaptic
dynamics to social interactions, integrated with concepts of nonlinear
neurodynamics operating simultaneously within and across scales.

This conference will provide an overview of the current state of research
in mathematical approaches to neuroscience, bringing together both
physical and life scientists. Pre-conference tutorial day April 10th.

The goal of this symposium is to review progress towards an integrated
understanding of the genetic, molecular, and neuronal basis of behaviour
in the fruit fly, Drosophila melanogaster. The aim is to bring together
researchers from the Drosophila and insect community with experts in
computational neurobiology and robotics.

The conference encompasses a broad list of topics, from realistic, data
related models to large-scale integrative models. The link between
proposed models and the explanation of neuronal mechanisms should be
clear.

The workshop covers the commonalities between multiscale modelling of
cellular and molecular processes and neuronal systems physiology. The
goal of the workshop will be to address the need for better communication
and interaction between the system's biology and computational
neuroscience communities.

The primary goal of this conference is to bring together neuroscientists,
psychologists, theorists and engineers who are seeking to understand the
structure of natural signals and how biological systems encode and
process these complex stimuli under natural conditions.

The theme will be "Workflows": What are the best practices for
combining different tools (simulators, analysis tools, visualization
tools, databases etc.) to ensure the efficient and reproducible flow
of data and information from simulation/experiment conception to
publication and archiving?

The conference will focus on understanding how the activation of large
populations of neurons gives rise to the higher order functions of the
brain including learning, memory, cognition, perception, action and
ultimately conscious awareness.

The conference will bring together leading researchers in the area of
theoretical neuroscience working at different scales in neural tissue.
It is part of a year-long symposium on the Mathematics of Complexity
Science and Systems Biology.

This third annual meeting of the UK Mathematical Neuroscience Network
will provide an overview of the current state of research in mathematical
approaches to neuroscience, bringing together both physical and life
scientists.

The conference will focus (i) on common principles underlying the
widespread use in nature of arrays of mechano-sensory structures for
the extraction of meaning from the environment, and (ii) on engineered
systems derived from those principles.

This second annual meeting of the UK Mathematical Neuroscience Network
will provide an overview of the current state of research in mathematical
approaches to neuroscience, bringing together both physical and life
scientists.

The conference is intended to bring together researchers interested in
understanding the representation and use of ecologically relevant sensory
signals in biological systems, as well as those interested in
characterizing the structure of those signals.

Considerable information is availabel as to what the firing patterns of
single neurons encode in isolation, but it remains largely a mystery how
collections of neurons interact to perform such higher order functions as:
learning, memory, cognition, perception, and action. This conference is
intended to bring scientific leaders from around the world to present
their recent findings on the functioning of neuronal ensembles.

Focuses on Python support for neuroscience simulators, the PyNN common
simulator API, analysis and visualisation of simulation results, and
management of simulation projects to promote reproducibility and
reliability.

This first annual meeting of the UK Mathematical Neuroscience Network
will provide an overview of the current state of research in mathematical
approaches to neuroscience, bringing together both physical and life
scientists.

Considerable information is availabel as to what the firing patterns of
single neurons encode in isolation, but it remains largely a mystery how
collections of neurons interact to perform such higher order functions as:
learning, memory, cognition, perception, and action. This conference is
intended to bring scientific leaders from around the world to present
their recent findings on the functioning of neuronal ensembles.

In Association with the Third GENESIS Users Meeting (GUM*06), the overall
objective will be to bring together modelers and experimentalists using
Realistic Modeling techniques to better understand biological systems. All
computational biologists, not only those using GENESIS or NEURON, are
invited to present scientific as well as technical work. The event will
include tutorials, discussion of future development of GENESIS, the main
scientific meeting and poster session, followed by a full day on modeling
in olfaction, with special invited presentations by Will Rall and Gordon
Shepherd.

The symposium is interested in understanding the dynamical principles in
a variety of topics ranging from neurophysiology, neural computation,
neuroprosthetics, hybrid circuits and electronic neurons, to biomimetic
robotics and control.

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past meetings in this annual series can
be found
at the old CNS Home Page.
Prior
conference proceedings
are available.

In Association with the Second GENESIS Users Meeting (GUM*05), the overall
objective will be to bring together modelers and experimentalists using
Realistic Modeling techniques to better understand biological systems. All
computational biologists, not only those using GENESIS, are invited to
present scientific as well as technical work.

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Workshops
focusing on current issues in computational neuroscience will be held as
as the final two days of the conference (July 21 and 22).
A satellite symposium
on Computation in the Olfactory System will occur the day just prior to
the main conference (July 17).
Information regarding past meetings in this annual series can
be found
at the old CNS Home Page.
Prior
conference proceedings
are available.

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Workshops
focusing on current issues in computational neuroscience will be held as
as part of the conference.
Information regarding past meetings in this annual series can
be found
at the old CNS Home Page.
Prior
conference proceedings
are available.

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Workshops
focusing on current issues in computational neuroscience will be held as
as part of the conference.
Information regarding past meetings in this annual series can
be found
at the old CNS Home Page.
Prior
conference proceedings
are available.

San Francisco and Pacific Grove, California, USA.
June 30 - July 5, 2001

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Workshops
focusing on current issues in computational neuroscience will be held as
as part of the conference.
Information regarding past meetings in this annual series can
be found
at the old CNS Home Page.
Prior
conference proceedings
are available.

This workshop will to bring together scientists with experimental,
computational and theoretical approaches to explore how abstractions,
from molecular to system levels, are related, and to discuss the nature
of computational tools needed to support effective modelling across
abstractions and levels.

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Workshops
focusing on current issues in computational neuroscience will be held as
part of the conference.
Information regarding past and future meetings in this annual series can
be found
at the old CNS Home Page.
Conference proceedings
are available.

IPCAT 99
Information Processing in Cells and Tissues, Third International Workshop

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past meetings in this annual series
can be found
at the old CNS Home Page.
Conference proceedings
are available.

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past and future meetings in this annual series
can be found
at the old CNS Home Page.
Conference proceedings
are available.

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past and future meetings in this annual series
can be found
at the old CNS Home Page.
Conference proceedings
are available.

1996

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past and future meetings in this annual series
can be found
at the old CNS Home Page.
Conference proceedings
are available.

1995

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past and future meetings in this annual series
can be found
at the old CNS Home Page.
Conference proceedings
are available.

1994

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past and future meetings in this annual series
can be found
at the old CNS Home Page.
Conference proceedings
are available.

1993

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past and future meetings in this annual series
can be found
at the old CNS Home Page.
Conference proceedings
are available.

Equally emphasizes experimental, model based, and more theoretical
approaches to understanding neurobiological computation.
Information regarding past and future meetings in this annual series
can be found
at the old CNS Home Page.
Conference proceedings
are available.